ENH: Moving Ridge out of preview (#2154)

doc/sources/preview.rst

@@ -50,10 +50,10 @@ Then, you can import Scikit-learn estimator patched with a preview one from `skl
 
      from sklearnex import patch_sklearn
      patch_sklearn()
-     from sklearn.linear_model import Ridge
-     print(Ridge.__module__)
+     from sklearn.decomposition import IncrementalPCA
+     print(IncrementalPCA.__module__)
      # output:
-     # sklearnex.preview.linear_model.ridge
+     # sklearnex.preview.decomposition.incremental_pca
 
 Current list of preview estimators:
 
@@ -71,6 +71,3 @@ Current list of preview estimators:
    * - IncrementalPCA
      - sklearnex.preview.decomposition
      - Yes
-   * - Ridge
-     - sklearnex.preview.linear_model
-     - Yes

onedal/linear_model/linear_model.py

@@ -293,15 +293,15 @@ def fit(self, X, y, queue=None):
         """
         module = self._get_backend("linear_model", "regression")
 
-        X = _check_array(
-            X,
-            dtype=[np.float64, np.float32],
-            force_all_finite=False,
-            ensure_2d=False,
-            copy=self.copy_X,
-        )
+        if not isinstance(X, np.ndarray):
+            X = np.asarray(X)
+
+        dtype = get_dtype(X)
+        if dtype not in [np.float32, np.float64]:
+            dtype = np.float64
+            X = X.astype(dtype, copy=self.copy_X)
 
-        y = np.asarray(y).astype(dtype=get_dtype(X))
+        y = np.asarray(y).astype(dtype=dtype)
 
         X, y = _check_X_y(X, y, force_all_finite=False, accept_2d_y=True)
 

setup.py

@@ -530,7 +530,6 @@ def run(self):
     "sklearnex.preview",
     "sklearnex.preview.covariance",
     "sklearnex.preview.decomposition",
-    "sklearnex.preview.linear_model",
     "sklearnex.svm",
     "sklearnex.utils",
 ]

sklearnex/dispatcher.py

@@ -52,7 +52,6 @@ def get_patch_map_core(preview=False):
                 EmpiricalCovariance as EmpiricalCovariance_sklearnex,
             )
             from .preview.decomposition import IncrementalPCA as IncrementalPCA_sklearnex
-            from .preview.linear_model import Ridge as Ridge_sklearnex
 
             # Since the state of the lru_cache without preview cannot be
             # guaranteed to not have already enabled sklearnex algorithms
@@ -83,14 +82,6 @@ def get_patch_map_core(preview=False):
                 ]
             ]
 
-            # Ridge
-            linear_model_module, _, _ = mapping["ridge"][0][0]
-            sklearn_obj = mapping["ridge"][0][1]
-            mapping.pop("ridge")
-            mapping["ridge"] = [
-                [(linear_model_module, "Ridge", Ridge_sklearnex), sklearn_obj]
-            ]
-
         return mapping
 
     from daal4py.sklearn.monkeypatch.dispatcher import _get_map_of_algorithms